HP HP Pavilion All-in-One 27-d1xxx
Geekbench AI Score
3238
Single Precision Score
3122
Half Precision Score
7939
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | November 16 2024 07:00 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11700T @ 1.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion All-in-One 27-d1xxx |
| Motherboard | HP 885E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700T |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 1.39 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (Q)
|
100% |
5318
989.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4827
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4213
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
16611
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (Q)
|
88% |
5692
456.3 IPS |
|
|
Face Detection (SP)
|
100% |
4128
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4010
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
13919
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5603
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5568
42.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
13629
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11061
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11195
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42966
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2482
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8330
308.5 IPS |
|
|
Text Classification (SP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (Q)
|
92% |
2283
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2664
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2647
45.6 IPS |
